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What is Silogy?

Silogy is an AI-powered verification engineer designed to assist chip developers and verification engineers in debugging test failures. Built by SiLogy Technologies, Inc., it addresses the challenge of time-consuming root-cause analysis in hardware verification. The tool leverages log files, code, waveform files, and other test outputs to automate repetitive debugging tasks and provide actionable clues for why tests are failing. Core capabilities include on-premise hosting for data security, integration with existing CI/CD workflows, and a command-line interface for flexible usage. Silogy is ideal for semiconductor companies, hardware design teams, and verification engineers who need to accelerate their debug cycles and improve productivity. It fits seamlessly into existing verification environments, supporting industry-standard tools and workflows.

AI Tool Review Summary

Performance Score

4.2/5

Content/Output Quality

Accurate and insightful for hardware debugging

Interface

Command-line driven with minimal UI

AI Technology
LLMNLP
Purpose of Tool

To automate root-cause analysis of test failures in chip verification.

Compatibility

On-premise deployment, integrates with CI/CD pipelines and industry-standard EDA tools.

Pricing

Free 7-day trial, custom pricing for enterprise

Features

Features with the highest value for users are highlighted here.

AI-powered test failure debugging

Root-cause analysis using logs, code, and waveforms

On-premise hosting for data security

Bring-your-own-key LLM access

Command-line tool and CI/CD integration

Interoperability with industry-standard tools

Who Is It For?

Chip Verification Engineers

Hardware Design Teams

Semiconductor Companies

EDA Tool Integrators

QA Engineers in Hardware

RTL Designers

System-on-Chip (SoC) Teams

FPGA Developers

Startups in Semiconductor

Large Enterprises with Custom Workflows

Pricing

Free Trial

$0/free
  • 7-day full access
  • On-premise deployment
  • Basic support
Popular

Enterprise

Custom/monthly
  • Unlimited usage
  • Dedicated support
  • Custom integrations
  • SLA

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Pros & Cons

Pros

  • Automates repetitive debugging tasks, saving time.
  • On-premise deployment ensures data privacy.

Cons

  • May not always be accurate in root-causing bugs.
  • Requires bring-your-own-key for LLM access.

FAQs

Just Launched

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